BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Tendenci - The Open Source AMS for Associations//Tendenci Codeba se MIMEDIR//EN BEGIN:VEVENT DESCRIPTION:--- This iCal file does *NOT* confirm registration.\r\nEvent d etails subject to change. ---\r\nhttps://www.spegcs.org/events/1498/\r\n\r \nEvent Title: SPEI: Production Optimization & Recovery Enhancement Using Artificial Intelligence & Data Mining\r\nStart Date / Time: Feb 07, 2011 0 9:00 AM US/Central\r\nLocation: Houston Training Center\r\nSpeaker: Shahab D. Mohaghegh\r\nGoogle\r\nhttp://maps.google.com/maps?q=10777+Westheimer+ Road+Suite+1075,Houston,Texas,77042\r\n\r\nForecast\nhttp://www.weather.co m/weather/monthly/77042\r\n\r\n\r\n \r\n Register here.\r\n \r\n Course Description\r\n \r\n This course covers the fundamentals of Artificial in telligence and Data Mining and provides the\r\n theoretical background fo r its most used components such as artificial neural networks, evolutionar y\r\n computing, and fuzzy logic. The course provide some insight into th e type of problems that can be\r\n solved using artificial intelligence t echniques, and types of problems not suited for AI. The last part of the c ourse will be devoted to actual application of these techniques in product ion optimization. Artificial Intelligence is a collection of several analy tical tools that attempts to mimic life.\r\n \r\n AI tools are being used in many commercial products. They are an integrated part of many new cars such as Honda and Mitsubishi. They are used to provide smooth rides in su bway systems and prevent fraud in use of credit cards. They are extensivel y used in the financial market to predict chaotic stock market behavior, o r optimize financial portfolios. Their application in oil and gas industry is fairly new. A handful of researchers and practitioners have concentrat ed their efforts to provide intelligent tools for the petroleum industry. Artificial intelligence tools have been used to optimize hydraulic fractur e designs, characterize oil and gas reservoirs, optimize drilling operatio n, interpret well logs, generate virtual magnetic resonance logs, select c andidate wells for stimulation, and predict post fracture deliverability. Topics covered include the following:\r\n \r\n \r\n Artificial Intellig ence &\; Data Mining\; an Overview\r\n \r\n Artificial Neural Networ ks\r\n \r\n Evolutionary Computing\r\n \r\n Fuzzy Logic\r\n \r\n Hybrid Intelligent Systems\r\n \r\n Field Applications &\; Hands on exercises\r\n \r\n \r\n Optimization of Hydraulic Fracturing\r\n \r\n Stimulation/Workover Candidate Selection\r\n \r\n Intel ligent Production Data Analysis for:\r\n \r\n \r\n Optimiza tion of infill locations\r\n \r\n Optimization of underperforme r wells\r\n \r\n Virtual Multi-Phase Flow Metering\r\n \r\ n Developing Surrogate Models for Surface Facilities for Optimizatio n and Bottle-neck Removing\r\n \r\n \r\n \r\n \r\n \r\n \r\n Wh o Should Attend\r\n \r\n This course is designed for completion, producti on and reservoir engineers of operating companies, as\r\n well as service company personnel involved with planning, completion and operating wells and surface\r\n facilities.\r\n \r\n CEUs\r\n \r\n 1.6 (Continuing Educ ation Units/8 hours) awarded for this 2-day course.\r\n \r\n Pricing afte r Jan. 24, 2011 - Members $1599, Non-Members $1799\r\n \r\n For more deta ils, please contact us at trainingcourses@spe.org\r\n\r\n\n\n--- This iCal file does *NOT* confirm registration.Event details subject to change. --- \r\n\r\n--- By Tendenci - The Open Source AMS for Associations ---\r\n UID:uid1498@spegcs.org SUMMARY:SPEI: Production Optimization & Recovery Enhancement Using Artificial Intelligence & Data Mining DTSTART:20110207T150000Z DTEND:20110208T230000Z CLASS:PUBLIC PRIORITY:5 DTSTAMP:20240328T100631Z TRANSP:OPAQUE SEQUENCE:0 LOCATION:Houston Training Center X-ALT-DESC;FMTTYPE=text/html:
This course cov
ers the fundamentals of Artificial intelligence and Data Mining and provid
es the
theoretical background for its most used components such as a
rtificial neural networks, evolutionary
computing, and fuzzy logic.
The course provide some insight into the type of problems that can be
solved using artificial intelligence techniques, and types of problems n
ot suited for AI. The last part of the course will be devoted to actual ap
plication of these techniques in production optimization. Artificial Intel
ligence is a collection of several analytical tools that attempts to mimic
life.
AI tools are being used in many commercial products. The y are an integrated part of many new cars such as Honda and Mitsubishi. Th ey are used to provide smooth rides in subway systems and prevent fraud in use of credit cards. They are extensively used in the financial market to predict chaotic stock market behavior, or optimize financial portfolios. Their application in oil and gas industry is fairly new. A handful of rese archers and practitioners have concentrated their efforts to provide intel ligent tools for the petroleum industry. Artificial intelligence tools hav e been used to optimize hydraulic fracture designs, characterize oil and g as reservoirs, optimize drilling operation, interpret well logs, generate virtual magnetic resonance logs, select candidate wells for stimulation, a nd predict post fracture deliverability. Topics covered include the follow ing:
This course is des
igned for completion, production and reservoir engineers of operating comp
anies, as
well as service company personnel involved with planning,
completion and operating wells and surface
facilities.
1.6 (Continuing Education Units/8 hours) awarded for this 2-day course.
Pricing after Jan. 24, 2011 - Me mbers $1599, Non-Members $1799